Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ringgold County, IA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ringgold County, IA
Series ID MHICIUBIA19159A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2024-01-01
Last Updated 2026-02-09 7:05 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 20170
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25668
1994-01-01 .
1995-01-01 26116
1996-01-01 .
1997-01-01 30877
1998-01-01 31201
1999-01-01 30712
2000-01-01 32893
2001-01-01 31871
2002-01-01 31854
2003-01-01 31776
2004-01-01 34903
2005-01-01 36254
2006-01-01 39521
2007-01-01 39168
2008-01-01 40313
2009-01-01 38502
2010-01-01 40140
2011-01-01 42237
2012-01-01 43036
2013-01-01 49063
2014-01-01 46858
2015-01-01 49968
2016-01-01 52016
2017-01-01 50170
2018-01-01 53123
2019-01-01 56386
2020-01-01 61000
2021-01-01 58545
2022-01-01 66807
2023-01-01 68493
2024-01-01 69552

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